Christopher Srinivasa

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Senior Research Team Lead

PhD Electrical and Computer Engineering, University of Toronto

I'm a Machine Learning Research Team Lead at Borealis AI in Toronto, Canada. I obtained my PhD with the Probabilistic and Statistical Inference group at the University of Toronto, advised by Brendan Frey. My fundamental research interests are centered around message-passing algorithms, combinatorial optimization, variational inference, and graphical models. From an applications standpoint, I am passionate about problems in energy-efficient ML, where we work in resource-constrained settings such as mobile devices, and problems involving structure, where a representation has multiple components with dependencies between them. Prior to my PhD, I completed a M.A.Sc. from the University of Ottawa in 2011 and a B.Eng. Honours from McGill University in 2009, both in Electrical Engineering focusing on signal processing.

Publications

Feb. 22, 2022 PUMA: Performance Unchanged Model Augmentation for Training Data Removal
Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Dec. 3, 2018 On Learning Wire-Length Efficient Neural Networks
Workshop on Compact Deep Neural Network Representation (NeurIPS), 2018
Dec. 4, 2017 Min-Max Propagation
Neural Information Processing Systems (NIPS), 2017
Authors: C. Srinivasa, I. Givoni, S. Ravanbahksh, B. J. Frey
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